0
0
Power BIbi_tool~10 mins

Why design improves report clarity in Power BI - Test Your Understanding

Choose your learning style9 modes available
Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to create a measure that sums sales.

Power BI
Total Sales = SUM([1])
Drag options to blanks, or click blank then click option'
ACustomers[Name]
BSales[Date]
CSales[Amount]
DProducts[Category]
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing a non-numeric column like date or name.
2fill in blank
medium

Complete the code to filter sales for the year 2023.

Power BI
Sales 2023 = CALCULATE(SUM(Sales[Amount]), Sales[Year] = [1])
Drag options to blanks, or click blank then click option'
A2023
B2024
C2022
D2021
Attempts:
3 left
💡 Hint
Common Mistakes
Using a wrong year or a string instead of a number.
3fill in blank
hard

Fix the error in the measure to calculate average sales.

Power BI
Average Sales = AVERAGE([1])
Drag options to blanks, or click blank then click option'
ASales[Date]
BSales[Amount]
CCustomers[ID]
DProducts[Price]
Attempts:
3 left
💡 Hint
Common Mistakes
Using non-numeric columns causes errors.
4fill in blank
hard

Fill both blanks to create a filter for products priced above 100.

Power BI
High Price Sales = CALCULATE(SUM(Sales[Amount]), Products[Price] [1] [2])
Drag options to blanks, or click blank then click option'
A>
B100
C<
D50
Attempts:
3 left
💡 Hint
Common Mistakes
Using less than or wrong numbers.
5fill in blank
hard

Fill all three blanks to create a measure that counts customers from USA.

Power BI
USA Customers = CALCULATE(COUNT([1]), Customers[Country] [2] [3])
Drag options to blanks, or click blank then click option'
ACustomers[ID]
B=
C"USA"
DCustomers[Name]
Attempts:
3 left
💡 Hint
Common Mistakes
Counting names or using wrong comparison operators.